Applied Physics

Alignerr Corp.; City of Edinburgh; Remote; GBP 40,000 - 70,000; Part time

Benefits offered by this job

Fully remote and flexible schedule

Potential for ongoing work

Job summary

Alignerr Corp. is seeking a PhD-level Applied Physicist for a fully remote, flexible contract role. In this position, you will design advanced physics problems, produce rigorous solutions, and audit AI models for physical consistency. Ideal candidates will have a deep mastery of core physics principles such as Classical Mechanics and Quantum Mechanics, along with exceptional communication skills. This role offers freelance autonomy with high-impact work on AI systems ensuring scientific integrity.

Qualifications

• Holds a PhD or near completion in a related field.
• Deep mastery of Classical Mechanics, Electrodynamics, and Quantum Mechanics.
• Ability to articulate complex physical phenomena clearly.

Responsibilities

• Design challenging physics problems requiring multi-step reasoning.
• Produce definitive, step-by-step solutions with precise constants.
• Audit AI reasoning for physical consistency.

Skills

Mastery of fundamental physics

Exceptional communication skills

Attention to dimensional analysis

Self-motivated

Education

PhD in Applied Physics or related field

Tools

Python (NumPy/SciPy)

MATLAB

COMSOL

Job description

About The Role

What if your mastery of quantum mechanics, electrodynamics, and thermodynamics could directly shape how AI understands the physical world? We're looking for PhD-level Applied Physicists to stress-test cutting‑edge AI models — exposing where they break the laws of physics and helping ensure they reason with the rigour of a trained scientist.

Applied Physics (AI Training)

This is a fully remote, flexible contract role built for researchers and academics who want high‑impact work on their own schedule. No prior AI experience required — just deep domain expertise and an uncompromising eye for physical truth.

Job Details

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You’ll Do

• Design Advanced Physics Problems — Craft challenging, open-ended problems at PhD qualifying exam level that demand multi‑step logical reasoning, mathematical derivation, and mastery of core physical principles
• Author Rigorous Solutions — Produce definitive, step‑by‑step “golden responses” with perfect physical constants, unit conversions, and airtight logical flow
• Audit AI Reasoning — Evaluate AI‑generated simulations, proofs, and explanations for physical consistency; identify where models “hallucinate” physics that violates first principles
• Refine Model Behaviour — Provide structured, expert feedback that teaches AI to respect constraints like conservation laws, boundary conditions, and dimensional analysis
• Cover Foundational Topics — Work across classical mechanics, electrodynamics, statistical mechanics, quantum mechanics, and related research‑level domains

Who You Are

• Holds a PhD (completed or near completion) in Applied Physics, Physics, Engineering Physics, or a closely related field
• Deep mastery of the core pillars: Classical Mechanics, Electrodynamics, Statistical Mechanics, and Quantum Mechanics
• Exceptional ability to articulate complex physical phenomena and mathematical derivations in clear, structured English
• Uncompromising precision with units, scientific notation, dimensional analysis, and logical proof structure
• Self‑motivated and reliable when working independently on task‑based assignments
• No prior AI or data annotation experience required

Nice to Have

• Experience with data annotation, scientific dataset evaluation, or quality assurance for research outputs
• Proficiency with computational tools such as Python (NumPy/SciPy), MATLAB, or COMSOL
• Background in research‑level problem design, academic instruction, or scientific writing
• Familiarity with AI language models or large‑scale model evaluation as an end user

Why Join Us

• Work on high‑impact AI projects in collaboration with world‑leading research labs
• Fully remote and flexible — work when and where it suits you, on your own schedule
• Freelance autonomy with the intellectual depth of meaningful, research‑level work
• Contribute directly to ensuring AI systems reason about the physical world with scientific integrity
• Potential for ongoing work and contract extension as new projects launch